The SaaS industry moves at breakneck speed. Companies are under immense pressure to deliver new features continuously while maintaining reliability and an outstanding user experience. Just as we saw in the logistics domain, a strong Developer Experience (DevEx) can be the game-changer that helps teams meet these demands. In a SaaS context, improving DevEx means addressing common challenges – managing a sprawl of microservices, quickly onboarding new engineers, ensuring reliable deployments, and streamlining the path from code to customer. This in-depth guide explores how a company in the SaaS industry transformed its developer experience by implementing Atlassian’s Compass platform alongside DevEx best practices, and the concrete benefits that followed.

The DevEx Challenges Facing SaaS Teams

Modern software development at a SaaS company is complex. Developers are asked to do everything from addressing production incidents and configuring cloud services to navigating a growing maze of microservices and components – all while collaborating across distributed teams. This complexity often leads to “software sprawl,” where a lack of cohesion and visibility into systems drains productivity and stifles innovation. Key pain points include:

Scattered Knowledge and Silos: With dozens of services and tools, vital information gets scattered. Developers may spend significant time searching wikis, digging through repos, or pinging teammates to find out who owns a service or where its documentation lives. In fact, more than a quarter of developers report spending over an hour each day searching for answers or solutions, time that could be spent building features atlassian.com. This constant context switching breaks flow and slows down delivery.
Sprawling Microservices with Unclear Ownership: SaaS products often consist of many microservices. Without a clear system of ownership, teams struggle to answer questions like “Who maintains this API?” or “Which service is responsible for that feature?” Unclear ownership and inter-service dependencies can cause delays and errors. When something breaks, it’s not obvious who should respond or how services impact one another.
Onboarding New Developers is Slow: Bringing a new engineer up to speed in such an environment is difficult. They must learn the architecture, decipher tribal knowledge, and locate documentation scattered across Confluence pages, Google Docs, or code comments. It’s not uncommon for new hires to take weeks before they can confidently contribute to the codebase. All this ramp-up time is lost productivity.
Inconsistent Processes and Reliability Issues: Different teams might use their own tools and deployment pipelines. One microservice might have an automated CI/CD setup, while another requires manual steps known only to a few senior devs. These inconsistencies lead to unreliable deployments and frequent hiccups. Without common standards, maintaining high reliability is hard – a problem when customers expect SaaS services to be available 24/7. Every incident becomes a fire-drill as teams scramble to triage issues, often with incomplete information at hand.

These challenges were painfully evident at a SaaS company we worked with. The engineering org knew they needed to reduce friction in development. Improving DevEx became a priority to enable the team to scale and deliver. They identified the need for a single source of truth and more integrated tooling – and this is where Atlassian Compass came into play.
Team members collaborating to resolve development issues.

Unifying the Software Ecosystem with Atlassian Compass

Atlassian Compass is a new developer experience platform designed to bring order to the chaos of modern software development. Compass provides a centralized place for teams to catalog all their software components and see related metadata and health at a glance. Atlassian launched Compass to empower engineering organizations to bring all of their teams and technology together, improving reliability and accelerating velocity. In other words, Compass acts as the hub for your internal software ecosystem – a living map of your services, APIs, libraries, documentation, and more.

For the SaaS company, adopting Compass was the cornerstone of their DevEx transformation. The platform addressed their challenges in several ways:

Centralized Component Catalog: Compass untangled the company’s architecture by providing an easy-to-setup, unified catalog of all services and microservices – essentially a single pane of glass view of the entire software landscape. Instead of searching across disparate systems, developers can now go to one place to find information on any component. The catalog tracks each service along with important details like its purpose, owner team, repositories, runtime stack, and links to related resources. Atlassian specifically designed this catalog to reduce time spent searching and to make it trivial to discover and track all services and their data in one place.
Scorecards and Metrics for Health: To bolster reliability, the team started using Compass’s built-in health scorecards and DORA metrics. These provided transparent insight into the performance and operational health of each service – from deployment frequency and test coverage to incident metrics. For instance, if a service had a high change failure rate or missing documentation, the scorecards would flag it. Having quantitative measures helped identify points of friction in delivery and focus improvement efforts. Over time, tracking these metrics helped the SaaS team improve their DevOps practices and reliability for each service.
Standardized Templates and Golden Paths: Compass enabled the organization to define templates for new services. Whenever a team needed to spin up a new microservice, they could use a software template preconfigured with the company’s best practices – repository structure, CI/CD pipeline, monitoring setup, and even a Confluence project space for docs. This removed guesswork and ensured consistency across teams. By baking in policies and cloud config into these templates, every new service met the company’s reliability standards from day one. This standardization went a long way in making deployments more predictable and less error-prone.
Extensibility and Toolchain Integration: A huge benefit was Compass’s ability to integrate with the company’s existing toolchain. Out of the box, Compass connects to over 20 different services and can pull in data from AWS, GitHub, CI pipelines, monitoring tools, incident management, feature flags, and more. Our SaaS team took advantage of this by hooking Compass into their CI/CD and alerting systems. Build statuses, deployment events, and even on-call rotations are now visible directly in Compass. This means developers no longer have to constantly context switch between Jenkins, Jira, GitHub, and a dozen other dashboards to understand a service’s status – Compass surfaces all the relevant data in one. The team even extended Compass using Atlassian Forge to tailor it to some of their unique workflows, ensuring the platform fit like a glove.

Compass, Jira, and Confluence – Better Together: The SaaS company was already an Atlassian shop using Jira for issue tracking and Confluence for documentation. Compass didn’t replace these tools; it enhanced them by tying them together in the context of their software components. Developers linked Jira issues to Compass components so that every ticket is associated with the service it touches. This gave developers working on a Jira issue instant visibility into that service’s health and recent activity without leaving Jira. In fact, Atlassian has made Compass components available directly inside Jira Software, allowing engineers to see a component’s scorecard status, compliance, ownership info, documentation, and recent CI/CD events right from the Jira issue. That integration dramatically cut down on context switching. Instead of opening five different browser tabs to gather info, a developer grooming a story in Jira can assess related service details at a glance.

Compass also brought the team’s documentation closer to the code. They used Confluence as a knowledge base for design docs, runbooks, and onboarding guides. Now, those Confluence pages are embedded directly into Compass, appearing on the relevant service’s overview page. For example, the architecture diagrams and operational runbooks for the payment service are accessible in Compass under a Documentation section, pulling straight from Confluence. This means when developers view that service in Compass, they see not only technical stats but also the linked architecture notes and support playbooks – all in one interface. Documentation is no longer an afterthought or a scavenger hunt; it lives side-by-side with the code and the operational data.

Atlassian Compass serves as a single source of truth for SaaS teams. In this Compass component overview, developers can find everything they need to know about a service – its description and ownership, links to documentation and runbooks, current health scorecards, recent activity, on-call schedules, repositories, and more – all in one centralized hub.

By unifying their distributed systems and tools, Compass addressed the root causes of the team’s DevEx woes. Developers felt the immediate difference: instead of spending half a day piecing together information, they could stay “in the flow” and focus on coding and problem-solving. The DevEx transformation was underway.
Cross-device software deployment with synchronized system settings.

From Onboarding to Deployment: DevEx Transformation in Action

With Atlassian Compass as the foundation, the SaaS company revamped its developer workflows. The impact was felt across the software development lifecycle, from onboarding new hires to handling incidents in production. Let’s walk through how things changed:

1. Lightning-Fast Onboarding: One of the most tangible improvements was in bringing new engineers up to speed. Before, a new hire might wander through a forest of tribal knowledge trying to learn the system. Now, the first thing new developers get is access to Compass. All the microservices, their documentation, and their owning teams are right there in the catalog. This provides new developers with a clear, consistent view of what services exist, who owns them, and how they work – drastically reducing guesswork and increasing confidence. In Compass, every service entry shows the documentation link (often a Confluence page) and the Slack or Teams channel for the owning squad, so newcomers immediately know where to find information or ask questions. The team also created an onboarding checklist (managed via Jira and linked in Compass) that guides new hires through exploring key components in the catalog, reading their docs, and running the apps locally using standardized templates. The result? New developer onboarding time dropped from multiple weeks to just a few days in many cases. By the end of week one, a new engineer can confidently navigate the codebase and even push their first meaningful code change – an enormous morale boost for both the new hire and the team.

2. Clear Service Ownership and Accountability: Compass brought order to ownership. Every component in the catalog has an “Owner team” field, and this is integrated with the company’s identity directory. Now there’s never a question of who is responsible for what – it’s visible on each service’s Compass page. If an incident arises on the payment-auth service, developers can see exactly which team owns it and who is on call for it, right in Compass. This clarity in ownership fosters a culture of accountability and collaboration. Developers take pride in owning their services, and they keep the component info up to date (ensuring documentation links, repo links, and chat channels are correct). It also improved cross-team collaboration: if service A depends on service B, the team A can easily find and reach out to the owners of B when an integration issue comes up. In short, Compass eliminated the previous blame game and confusion by shining a light on the entire dependency network and ownership structure.

3. Reduced Friction and Context Switching: Perhaps one of the biggest daily quality-of-life improvements was the reduction in context switching for developers. Before, a typical bug fix might involve jumping between Jira (to track the issue), a Git repo (to find the code), a monitoring dashboard (to check logs), and a runbook in Confluence – each in a separate silo. Compass has now integrated or linked all of these into a single workflow. Developers can start in Jira, see the related Compass component and its status inline, hop into Compass to check recent deploys or open incidents for that service, and even view the embedded Confluence runbook if needed, all without a cumbersome hunt. By providing a unified interface for all necessary information and tools, Compass keeps developers in flow and focused. Industry research shows frequent context switching is a productivity killer, so this was a critical win. As a result, the team noticed a boost in overall productivity – more coding, less waiting on info – and a happier, less frustrated engineering team.

4. More Reliable Deployments and Fewer Incidents: Consistency and insight are key to reliability, and the Compass-driven approach provided both. Using Compass scorecards, the SaaS company set up operational criteria that each service should meet – for example, having at least 80% coverage in unit tests, a recent successful disaster recovery drill, and an up-to-date documentation page. If any service fell below the standards, Compass would flag it on the service’s scorecard (failing or needing attention). This visibility gently pushed teams to improve their areas. Over a few months, the overall health scores for services improved as teams added missing tests and updated stale docs. More directly, Compass’s integrations helped catch issues faster. Developers configured alerts from their monitoring and Sentry error tracking to pipe into Compass. When a critical incident occurred, the on-call team used Compass to rapidly assess the blast radius (which other services connect to the failing one?) and follow runbook links. With all the context in one place, incident triage and resolution became much faster, cutting down mean time to resolution significantly. The company’s DevOps leads reported that what used to take an hour of scrambling through different systems to diagnose could now often be done in 15 minutes via Compass. Faster incident response translates to improved uptime for customers – a huge reliability gain for the SaaS product.

5. Accelerated Release Cycles: Ultimately, the improvements in onboarding, ownership, and process consistency had a direct effect on feature delivery speed. Deployments that were once risky and infrequent (due to manual steps and uncertainty) became routine and automated. With Compass enforcing standards and providing transparency, teams felt confident to increase deployment frequency. Some teams moved from bi-weekly releases to deploying small changes daily. Compass’s tracking of DORA metrics like deployment frequency and lead time made these gains visible and celebrated. As teams adopted continuous delivery practices (with those Compass templates ensuring each new service starts life CD-ready), the SaaS company saw its innovation throughput increase. In short, better DevEx led to shipping value to customers faster. Atlassian’s own experience has shown that a healthy developer experience both increases engineering velocity and improves reliability, the holy grail for any software company. That proved true here: feature cycle times shrank while quality went up.

Results: A High-Performing SaaS Team Powered by DevEx

By embracing a DevEx-first strategy and leveraging Atlassian Compass as the linchpin of their toolstack, the SaaS company achieved transformational results. The effort wasn’t just about introducing a new tool – it was about refocusing on the developer experience and smoothing out the rough edges that slowed the team down. The concrete benefits realized include:

Faster Onboarding: New engineers ramp up in days instead of weeks. With all services, documentation, and contacts cataloged in Compass, onboarding checklists practically run themselves. New hires quickly gain a clear understanding of the system and feel productive early on.
Improved Service Ownership: Every microservice now has a clearly defined owner and team, visible to all. This clarity has increased accountability and cross-team communication. There’s no confusion about “who owns what,” and issues no longer fall through the cracks due to ownership ambiguity. Developers feel more responsibility for the services they own and take initiative in maintaining their quality.
Reduced Context Switching: Developers spend far less time jumping between tools to gather information. By integrating Jira, Confluence, CI/CD pipelines, and monitoring into Compass, the team cut down hours of “tool churn” each week. This has kept developers in the flow, resulting in more focus on coding and problem-solving rather than chasing down information.
Better Documentation Health: Documentation is no longer an afterthought. Thanks to Compass surfacing docs alongside code and even flagging missing or outdated documentation via scorecards, the team’s overall documentation quality improved. Nearly every service now has an up-to-date Confluence page or README linked in Compass. This means important knowledge (like how to restart a service or the rationale behind a design) is readily available when needed. The integration of Confluence with Compass has created a virtuous cycle where keeping docs current is part of the development workflow, not a separate chore.
Faster Incident Resolution: When incidents occur, the response is swift and organized. On-call engineers use Compass to see all relevant context – recent deploys, known issues, dependent services, and runbooks – without scrambling. With developers able to triage issues quickly through the unified view, mean time to resolution (MTTR) has dropped significantly. This translates into higher service uptime and trust with customers.
Accelerated Release Cycles: Consistency and confidence have allowed teams to release software faster and more frequently. With common templates and standards, deployments are automated and reliable. The company witnessed shorter lead times for changes and an uptick in deployment frequency, all while maintaining (or even improving) stability. In other words, DevEx improvements removed bottlenecks in the delivery pipeline, letting the organization ship value to users at a higher tempo. Engineering leaders noted that the combination of Compass’s metrics and Jira tracking made these improvements measurable and visible, further reinforcing a culture of continuous improvement.

DevEx as a Driver of SaaS Success

In the highly competitive SaaS industry, developer experience isn’t a “nice to have” – it’s a strategic investment that pays off in agility, quality, and team morale. By implementing Atlassian Compass and adopting a DevEx mindset, the SaaS company broke down information silos and aligned its people, processes, and tools toward a common goal. Compass acted as the connective tissue, a source of truth across distributed systems and CI/CD workflows, enabling the engineering teams to work autonomously with less friction and more insight. The transformation led to faster onboarding, better knowledge sharing, greater service reliability, and accelerated feature delivery – all critical to staying ahead in the SaaS game.

Perhaps most importantly, the developers themselves are happier and more empowered. Freed from the frustration of needless obstacles, they can focus on innovating and solving real problems for customers. As Atlassian’s experience shows, when you invest in Developer Experience, you unleash the potential of your engineering teams. For any SaaS company looking to scale effectively, improve operational resilience, and keep developer talent engaged, DevEx transformation is a journey worth undertaking. With the right platform (like Compass) and a commitment to continuous improvement, even the most complex microservice architectures can be navigated with confidence and clarity. The end result is a win–win: developers get a smoother day-to-day workflow, and the business delivers value to market faster and more reliably than ever before.

Interested in learning more about Accelerating software delivery in the SaaS industry? Contact Atlas Bench for a free consultation.

How a Logistics SaaS Company Improved DevEx with Compass

How a Logistics SaaS Company Improved DevEx with Compass